Guillermo Gallego

Associate Professor

Technische Universität Berlin

Germany

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About

Guillermo Gallego is an Associate Professor at Technische Universität Berlin, Germany. His research focuses on event-based imaging technologies, including photometric bundle adjustment, stereo depth estimation, and optical flow. He has contributed to various articles on visual-inertial odometry, action recognition, and real-time noise estimation in camera systems.

Articles (20)

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2025

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2022

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2021

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2020

Collaborators (7)

Jorg Conradt

KTH Royal Institute of Technology

SWEDEN

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Tobi Delbruck

SWITZERLAND

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Davide Scaramuzza

Tenured Associate Professor

University of Zurich

SWITZERLAND

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Moritz Langer

University of Amsterdam

NETHERLANDS

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Chiara Bartolozzi

Imperial College London

UNITED KINGDOM

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Kostas Daniilidis

Professor

University of Pennsylvania

UNITED STATES

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Stefan Leutenegger

Imperial College London

UNITED KINGDOM

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Guillermo Gallego

Research Interests

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Articles (20)

Event-Based Photometric Bundle Adjustment

Event-Based Stereo Depth Estimation: A Survey

Fourier‐Based Action Recognition for Wildlife Behavior Quantification with Event Cameras

ESVO2: Direct Visual-Inertial Odometry With Stereo Event Cameras

Secrets of Event-Based Optical Flow, Depth and Ego-Motion Estimation by Contrast Maximization

On the Benefits of Visual Stabilization for Frame- and Event-Based Perception

Machine-learning optimal control pulses in an optical quantum memory experiment

Real‐Time Noise Source Estimation of a Camera System from an Image and Metadata

Event-Based Background-Oriented Schlieren

CMax-SLAM: Event-Based Rotational-Motion Bundle Adjustment and SLAM System Using Contrast Maximization

Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer

Event-Based Motion Segmentation With Spatio-Temporal Graph Cuts

A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework

Multi‐Event‐Camera Depth Estimation and Outlier Rejection by Refocused Events Fusion

Event Collapse in Contrast Maximization Frameworks

Event-Based Vision: A Survey

Fast Event-Based Optical Flow Estimation by Triplet Matching

Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow

Event-Based Stereo Visual Odometry

EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames

Collaborators (7)

Jorg Conradt

Tobi Delbruck

Davide Scaramuzza

Moritz Langer

Chiara Bartolozzi

Kostas Daniilidis

Stefan Leutenegger

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